HEAD
Scheme of Examination as per AICTE Flexible Curricula
V Semester Bachelor of Technology (B.Tech.) [Electric Vehicles]
S.No. | Subject Code | Category | Subject Name | Maximum Marks Allotted | Total Marks | Contact Hours per week | Total Credits | ||||||
Theory | Practical | ||||||||||||
End Sem. | Mid Sem. Exam. | Quiz/ Assignment | End Sem | Term work | L | T | P | ||||||
Lab Work & Sessional | |||||||||||||
1. | EV 501 | DC | Vehicle Architecture system | 70 | 20 | 10 | 30 | 20 | 150 | 3 | - | 2 | 4 |
2. | EV 502 | DC | Dynamics of Automobile | 70 | 20 | 10 | 30 | 20 | 150 | 3 | - | 2 | 4 |
3. | EV 503 | DE | Departmental Elective | 70 | 20 | 10 | - | - | 100 | 3 | 1 | - | 4 |
4. | EV 504 | OE | Open Elective | 70 | 20 | 10 | - | - | 100 | 3 | - | - | 3 |
5. | EV 505 | D Lab | FEM/CFD Lab | - | - | - | 30 | 20 | 50 | - | - | 4 | 2 |
6. | EV 506 | O/E Lab | Python Programming in Automobiles Applications | - | - | - | 30 | 20 | 50 | - | - | 4 | 2 |
7. | BT 407 | IN | Evaluation of Internship-II | - | - | - | - | 100 | 100 | - | - | 6 | 3 |
8. | IN | Internship-III | To be completed anytime during Fifth/Sixth semester. Its evaluation/credit to be added in Seventh Semester. | ||||||||||
9. | EV 508 | P | Minor Project I | - | - | - | - | 50 | 50 | - | - | 4 | 2 |
10. | Additional Credits# | #Additional credits can be earned through successful completion of credit based MOOC’s Courses available on SWAYAM platform (MHRD) at respective UG level. | |||||||||||
Total | 280 | 80 | 40 | 120 | 230 | 750 | 12 | 1 | 22 | 24 |
Departmental Electives | Open Electives |
EV 503 (a) Electric drives and Motors | EV 504 (a) Machine Learning for Automobile applications |
EV 503 (b) Sensor Actuators & Control | EV 504(b)Probability and Statistics |
EV 503 (c) Alternate Automotive Fuels & Emissions | EV 504 (c) Data Analytics |
1 Hr Lecture 1 Hr Tutorial 2 Hr Practical
1 Credit 1 Credit 1 Credit
=======Scheme of Examination as per AICTE Flexible Curricula
V Semester Bachelor of Technology (B.Tech.) [Electric Vehicles]
S.No. | Subject Code | Category | Subject Name | Maximum Marks Allotted | Total Marks | Contact Hours per week | Total Credits | ||||||
Theory | Practical | ||||||||||||
End Sem. | Mid Sem. Exam. | Quiz/ Assignment | End Sem | Term work | L | T | P | ||||||
Lab Work & Sessional | |||||||||||||
1. | EV 501 | DC | Vehicle Architecture system | 70 | 20 | 10 | 30 | 20 | 150 | 3 | - | 2 | 4 |
2. | EV 502 | DC | Dynamics of Automobile | 70 | 20 | 10 | 30 | 20 | 150 | 3 | - | 2 | 4 |
3. | EV 503 | DE | Departmental Elective | 70 | 20 | 10 | - | - | 100 | 3 | 1 | - | 4 |
4. | EV 504 | OE | Open Elective | 70 | 20 | 10 | - | - | 100 | 3 | - | - | 3 |
5. | EV 505 | D Lab | FEM/CFD Lab | - | - | - | 30 | 20 | 50 | - | - | 4 | 2 |
6. | EV 506 | O/E Lab | Python Programming in Automobiles Applications | - | - | - | 30 | 20 | 50 | - | - | 4 | 2 |
7. | BT 407 | IN | Evaluation of Internship-II | - | - | - | - | 100 | 100 | - | - | 6 | 3 |
8. | IN | Internship-III | To be completed anytime during Fifth/Sixth semester. Its evaluation/credit to be added in Seventh Semester. | ||||||||||
9. | EV 508 | P | Minor Project I | - | - | - | - | 50 | 50 | - | - | 4 | 2 |
10. | Additional Credits# | #Additional credits can be earned through successful completion of credit based MOOC’s Courses available on SWAYAM platform (MHRD) at respective UG level. | |||||||||||
Total | 280 | 80 | 40 | 120 | 230 | 750 | 12 | 1 | 22 | 24 |
Departmental Electives | Open Electives |
EV 503 (a) Electric drives and Motors | EV 504 (a) Machine Learning for Automobile applications |
EV 503 (b) Sensor Actuators & Control | EV 504(b)Probability and Statistics |
EV 503 (c) Alternate Automotive Fuels & Emissions | EV 504 (c) Data Analytics |
1 Hr Lecture 1 Hr Tutorial 2 Hr Practical
1 Credit 1 Credit 1 Credit
>>>>>>> html